During the past three decades, the ACM Symposium on Applied Computing has been amongst the major gathering forums for applied computer engineers, scientists, and application developers worldwide. SAC 2025 is sponsored by the ACM Special Interest Group on Applied Computing (SIGAPP). The aim of this track is to bring together researchers and practitioners to discuss advances, challenges, and future directions of artificial intelligence for education. 

 Track Description

Artificial intelligence (AI) has shown considerable promise in tackling various educational challenges. In the classroom, AI enhances teaching by personalizing learning content, sequencing activities, and providing tailored feedback based on each student's unique needs. It identifies optimal resources and pedagogical strategies, predicts learning outcomes, and and recommends subsequent steps in the learning process. On an administrative level, AI helps reduce dropout rates with predictive analytics and evaluates assessment of skills.

Despite its advantages, AI in education has faced criticism for several reasons, including potential biases, the exclusion of educator input in design, and a lack of transparency. Nonetheless, AI technologies, including machine learning, natural language processing, image processing, and expert systems, are increasingly being incorporated into public education systems. 

Given the growing importance of AI in society and supporting education and the existing challenges in their applications, this technical track focuses on AI for education.

 Submissions

The AI for education track accepts regular (full) papers and posters. Selected papers, not accepted as full papers, may be accepted as poster papers. These will be presented at a poster session during the Symposium and will be published as three-page extended abstracts in the Proceedings. Additionally, graduate students are invited to submit research abstracts to the Student Research Competition. Accepted papers in all categories will be published in the ACM SAC 2025 proceedings and published in the ACM digital library, indexed by Thomson ISI Web of Knowledge and Scopus.

Selected papers will be invited for publication in our ongoing special issue on AI for Education in Machine Learning and Knowledge Extraction, Education Sciences, and Applied Sciences. Authors of these papers will benefit from a 20% discount on the article processing charge or may be eligible for a complete waiver of this fee.

 Important Dates

• Submission deadlines :     September 20 October 4, 2024 October 13, 2024 (GMT-7)

• Notification of paper and SRC acceptance/rejection: November 22, 2024

• Camera ready: December 13, 2024

• Author registration due date:       December 13, 2024

• Conference: March 31 - April 4, 2025

• SRC posters exhibit: Tuesday April 1, 2025

• Non-SRC posters program: Wednesday April 2, 2025

• SRC oral presentations: Thursday April 3, 2025